Tensor Completion Through Multiple Kronecker Product Decomposition

Result code in IS VaVaI

RIV/67985556:_____/13:00392900 - isvavai.cz

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Tensor Completion Through Multiple Kronecker Product Decomposition

Original language description

We propose a novel decomposition approach to impute missing values in tensor data. The method uses smaller scale multiway patches to model the whole data or a small volume encompassing the observed missing entries. Simulations on color images show that our method can recover color images using only 5-10% of pixels, and outperforms other available tensor completion methods.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

GA102/09/1278: Advanced methods of blind source separation and blind deconvolution

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2013

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2013 IEEE International Conference on Acoustics, Speech, and Signal Processing ICASSP 2013

ISBN

978-1-4799-0355-9

ISSN

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e-ISSN

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Number of pages

5

Pages from-to

3233-3237

Publisher name

IEEE

Place of publication

Vancouver

Event location

Vancouver

Event date

May 27, 2013

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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